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[ CourseHulu com ] Udemy - Advanced Kalman Filtering and Sensor Fusion
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1. Welcome
1. Welcome to the Course.mp4
1. Welcome to the Course.srt
2. Course Outline.mp4
2. Course Outline.srt
3. Setting Up C++ Development Environment.mp4
3. Setting Up C++ Development Environment.srt
3.1 Setting_up_the_C_Development_Environment.pdf
4. Setting Up C++ Simulation.mp4
4. Setting Up C++ Simulation.srt
5. C++ Simulation Readme.html
6. Course Resources.html
6.1 2D Vehicle EKF Prediction Step Exercise.pdf
6.10 Linear Vehicle Tracker Update Step Exercise.pdf
6.11 Setting up the C++ Development Environment.pdf
6.12 Unscented Kalman Filter Summary.pdf
6.2 2D Vehicle EKF Update Step Exercise.pdf
6.3 2D Vehicle UKF Prediction Step Exercise.pdf
6.4 2D Vehicle UKF Update Step Exercise.pdf
6.6 Extended Kalman Filter Summary.pdf
6.7 Linear Kalman Filter Summary.pdf
6.8 Linear Vehicle Tracker Initial Conditions Exercise.pdf
6.9 Linear Vehicle Tracker Prediction Step Exercise.pdf
AKFSF-Simulation-CPP
AKFSF-Simulation.gif
CMakeLists.txt
LICENSE
README.md
data
Roboto-Regular.ttf
git
HEAD
config
description
hooks
applypatch-msg.sample
commit-msg.sample
fsmonitor-watchman.sample
post-update.sample
pre-applypatch.sample
pre-commit.sample
pre-push.sample
pre-rebase.sample
pre-receive.sample
prepare-commit-msg.sample
update.sample
index
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exclude
logs
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packed-refs
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heads
main
remotes
origin
HEAD
gitignore
src
beacons.cpp
beacons.h
car.h
display.cpp
display.h
kalmanfilter.cpp
kalmanfilter.h
kalmanfilter_ekf_answer.cpp
kalmanfilter_ekf_student.cpp
kalmanfilter_lkf_answer.cpp
kalmanfilter_lkf_student.cpp
kalmanfilter_ukf_answer.cpp
kalmanfilter_ukf_student.cpp
main.cpp
sensors.cpp
sensors.h
simulation.cpp
simulation.h
utils.cpp
utils.h
2. Introduction
1. What is Sensor Fusion.mp4
1. What is Sensor Fusion.srt
2. How Does Sensor Fusion Work.mp4
2. How Does Sensor Fusion Work.srt
3. How Does Sensor Fusion Work Notes.html
4. What is the Kalman Filter.mp4
4. What is the Kalman Filter.srt
5. What is the Kalman Filter Notes.html
6. Types of Kalman Filters.mp4
6. Types of Kalman Filters.srt
7. Types of Kalman Filters Notes.html
8. Learning Roadmap.mp4
8. Learning Roadmap.srt
9. Simulation Overview.mp4
9. Simulation Overview.srt
3. Background Theory
1. Section Outline.mp4
1. Section Outline.srt
10. Linear Transformation of Uncertainties.mp4
10. Linear Transformation of Uncertainties.srt
11. Linear Transformation of Uncertainties Quiz.html
12. Differential Equations.mp4
12. Differential Equations.srt
13. State Space Representation.mp4
13. State Space Representation.srt
14. Continuous and Discrete Time.mp4
14. Continuous and Discrete Time.srt
15. Mathematical Models.mp4
15. Mathematical Models.srt
16. Discrete Time Conversions.mp4
16. Discrete Time Conversions.srt
17. Probability and Estimation.mp4
17. Probability and Estimation.srt
2. Basic Probability.mp4
2. Basic Probability.srt
3. Basic Probability Quiz.html
4. Probability Density Functions.mp4
4. Probability Density Functions.srt
5. Probability Density Functions Quiz.html
6. Multivariate Probability.mp4
6. Multivariate Probability.srt
7. Multivariate Probability Quiz.html
8. Gaussian Probability Density Functions.mp4
8. Gaussian Probability Density Functions.srt
9. Gaussian Probability Density Functions Quiz.html
4. Linear Kalman Filter
1. How Does the Kalman Filter Work.mp4
1. How Does the Kalman Filter Work.srt
10. Kalman Filter Initial Conditions.mp4
10. Kalman Filter Initial Conditions.srt
10.1 Linear Vehicle Tracker Initial Conditions Exercise.pdf
11. Kalman Filter Summary.html
11.1 Linear_Kalman_Filter_Summary.pdf
2. Simulation Framework.mp4
2. Simulation Framework.srt
3. Process Model.mp4
3. Process Model.srt
4. Kalman Filter Prediction Step.mp4
4. Kalman Filter Prediction Step.srt
5. Kalman Filter Prediction Step Implementation.mp4
5. Kalman Filter Prediction Step Implementation.srt
5.1 Linear_Vehicle_Tracker_Prediction_Step_Exercise.pdf
6. Kalman Filter Prediction Step Explanation.mp4
6. Kalman Filter Prediction Step Explanation.srt
7. Kalman Filter Update Step.mp4
7. Kalman Filter Update Step.srt
8. Kalman Filter Update Step Implementation.mp4
8. Kalman Filter Update Step Implementation.srt
8.1 Linear_Vehicle_Tracker_Update_Step_Exercise.pdf
9. Kalman Filter Update Step Explanation.mp4
9. Kalman Filter Update Step Explanation.srt
5. Extended Kalman Filter
1. What is the Extended Kalman Filter.mp4
1. What is the Extended Kalman Filter.srt
10. Lidar Measurement Model.mp4
10. Lidar Measurement Model.srt
11. EKF Measurement Innovation (Summary).mp4
11. EKF Measurement Innovation (Summary).srt
12. EKF Measurement Innovation (Derivation).mp4
12. EKF Measurement Innovation (Derivation).srt
13. EKF Measurement Innovation (Example).mp4
13. EKF Measurement Innovation (Example).srt
14. EKF Update Step (Summary).mp4
14. EKF Update Step (Summary).srt
15. EKF Update Step (Derivation).mp4
15. EKF Update Step (Derivation).srt
16. EKF Update Step (Example).mp4
16. EKF Update Step (Example).srt
17. EKF 2D Vehicle Filter Update Step.mp4
17. EKF 2D Vehicle Filter Update Step.srt
17.1 2D_Vehicle_EKF_Update_Step_Exercise.pdf
18. EKF 2D Vehicle Filter Update Step Explanation.mp4
18. EKF 2D Vehicle Filter Update Step Explanation.srt
19. Numerical Jacobian Calculation.mp4
19. Numerical Jacobian Calculation.srt
2. EKF Simulation Framework.mp4
2. EKF Simulation Framework.srt
20. Numerical Jacobian Calculation Example.mp4
20. Numerical Jacobian Calculation Example.srt
21. EKF Understanding and Insights.mp4
21. EKF Understanding and Insights.srt
22. Extended Kalman Filter Summary.html
22.1 Extended_Kalman_Filter_Summary.pdf
3. 2D Vehicle Process Model.mp4
3. 2D Vehicle Process Model.srt
4. EKF Prediction Step (Summary).mp4
4. EKF Prediction Step (Summary).srt
5. What are Jacobians.mp4
5. What are Jacobians.srt
6. EKF Prediction Step (Derivation).mp4
6. EKF Prediction Step (Derivation).srt
7. EKF Prediction Step (Example).mp4
7. EKF Prediction Step (Example).srt
8. EKF 2D Vehicle Filter Prediction Step.mp4
8. EKF 2D Vehicle Filter Prediction Step.srt
8.1 2D_Vehicle_EKF_Prediction_Step_Exercise.pdf
9. EKF 2D Vehicle Filter Prediction Step Explanation.mp4
9. EKF 2D Vehicle Filter Prediction Step Explanation.srt
6. Unscented Kalman Filter
1. What is the Unscented Kalman Filter.mp4
1. What is the Unscented Kalman Filter.srt
10. UKF Update Step (Derivation).mp4
10. UKF Update Step (Derivation).srt
11. UKF 2D Vehicle Filter Update Step.mp4
11. UKF 2D Vehicle Filter Update Step.srt
11.1 2D Vehicle UKF Update Step Exercise.pdf
12. UKF 2D Vehicle Filter Update Step Explanation.mp4
12. UKF 2D Vehicle Filter Update Step Explanation.srt
13. Unscented Kalman Filter Summary.html
13.1 Unscented Kalman Filter Summary.pdf
2. Unscented Transformation.mp4
2. Unscented Transformation.srt
3. UKF Simulation Framework.mp4
3. UKF Simulation Framework.srt
4. UKF Prediction Step (Summary).mp4
4. UKF Prediction Step (Summary).srt
5. Matrix Square Root.mp4
5. Matrix Square Root.srt
6. UKF 2D Vehicle Filter Prediction Step.mp4
6. UKF 2D Vehicle Filter Prediction Step.srt
6.1 2D Vehicle UKF Prediction Step Exercise.pdf
7. UKF 2D Vehicle Filter Prediction Step Explanation.mp4
7. UKF 2D Vehicle Filter Prediction Step Explanation.srt
8. UKF Measurement Innovation (Summary).mp4
8. UKF Measurement Innovation (Summary).srt
9. UKF Update Step (Summary).mp4
9. UKF Update Step (Summary).srt
7. Filtering in the Real World
1. Sensor Models and Errors.mp4
1. Sensor Models and Errors.srt
2. Dealing with Faulty Data.mp4
2. Dealing with Faulty Data.srt
3. Dealing with Sensor Biases.mp4
3. Dealing with Sensor Biases.srt
4. Dealing with Initial Conditions.mp4
4. Dealing with Initial Conditions.srt
8. Capstone Project
1. Project Overview.mp4
1. Project Overview.srt
2. Project Details and Framework.mp4
2. Project Details and Framework.srt
3. Project Hints.mp4
3. Project Hints.srt
9. Conclusion
1. Summary.mp4
1. Summary.srt
2. Bonus.mp4
2. Bonus.srt
Bonus Resources.txt
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